Relationships among Alcohol Drinking Patterns, Macronutrient Composition, and Caloric Intake: National Health and Nutrition Examination Survey 2017-2018

Abstract

Background: Excessive alcohol consumption is associated with poor diet. Mixed reports in literature, so far, emphasize on the detailed understanding of relationships between diet composition and binge drinking at different drinking thresholds.

Objective: We examined the association of alcohol consumption thresholds with macronutrient composition, caloric intake and anthropometric measures from the NHANES 2017-2018 dataset.

Methods: A total of 2320 participants' data were analyzed. Energy and nutrient content from daily food and beverage intake were assessed via two dietary recall interviews. Physical examination and Alcohol Use Questionnaire including details about lifetime and current usage patterns were obtained. Correlations were evaluated using the Rao-Scott F Adjusted Chi-square statistic and Wald F-test. Sample-weighted multiple linear regression models were built to analyze the associations among volume of alcohol consumed, weight history and macronutrient intake.

Results: Waist circumference was significantly higher in 0- < 4 drinks/episode (low-quantity) drinkers than 4-7 drinks/episode (medium-quantity) and 8-11 drinks/episode (high-quantity) drinkers. High-quantity drinkers consumed significantly more kilocalories (2569.91) compared with low-quantity drinkers (2106.73). Low-quantity drinkers consumed more energy from carbohydrate and fat than medium and high-quantity drinkers. Very high-quantity drinkers (12+ drinks/episode) consumed less fiber (12.81 g) than low-quantity drinkers (16.67 g).

Conclusions: We observed an association between high alcohol intake and differences in eating habits and body composition. The findings suggest a need to compare more specific drinking patterns and their impact on nutrient intake. Although some results conflicted with previous studies, the mechanisms underlying alcohol's effect on ingestive and digestive metabolic pathways are still unclear and require further investigation.

Figure 1

Flowchart showing participant selection.